Senior Data Engineer - Hybrid in London

You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we're behind many of the digital experiences you use every day. Whether you want to book a holiday, order food, renew a subscription, or check out online, there's a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. com is looking for an ambitious Data Engineer to join our Data Platform Team. Our team's mission is to build a world-class data platform that powers our products and analytics. The Data Platform team is here to ensure internal stakeholders can easily collect, store, process and utilise data to build reports or products aiming to solve business problems. Our focus is on maximising the amount of time business stakeholders spend on solving business problems and minimising time spent on technical details around implementation, deployment, and monitoring of their solutions. The core tech stack we use is based on AWS and GCP, using: Kafka as our message transportFlink for (near) real time processingDatahub as our catalogBigQuery as our warehouseAirflow (GCP Composer) for schedulingDBT for data transformationMontecarlo for monitoringThe platform here encompasses the end-to-end, first for real time / streaming use cases but also for our analytical / warehouse needs. We're building for scale. As such, much of what we design and implement today will be the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data. Develop and maintain documentation for data systems and processes. Stay up-to-date with the latest data and streaming engineering technologies and trends. Build light weight tooling and associated reference patterns to foster the adoption of the platform by enabling upstream teams and systems to easily publish and manipulate data and deploy applications using industry best practicesImplement all the necessary infrastructure to enable end users to build, host, monitor and deploy their own applicationsProvide consultancy across the technology organisation to drive the adoption of the platform and unlock use-casesPromote data quality and governance as a first class citizen of the platformQualifications: Strong engineering background with a track record of implementing and owning components of a data platformStrong experience working with Cloud data warehousing technologies, in particular with BigQuery optimisation and FinOpsExperience working with modern cloud-based stacks such as AWS, Azure or GCPExcellent SQL skillsStrong programming skills with at least one of Python, Java, Scala or C#You're a mentor, raising the bar for your colleagues. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.